Alibaba Group Holding Limited
SYSTEM AND METHOD FOR TRAINING NEURAL NETWORKS

Last updated:

Abstract:

A computer-implemented method comprising: training a pre-trained neural network that comprises: an input layer; a plurality of hidden layers, wherein each of the plurality of hidden layers has one or more nodes, wherein each of said one or more nodes has an associated weight trained based on data from a source domain; and an output layer. Training the pre-trained neural network comprises: introducing at least one additional layer to the plurality of hidden layers, wherein said additional layer has one or more nodes having associated weights; keeping weights of the nodes in the plurality of hidden layers of the pre-trained neural network unchanged; inputting data from a target domain to the input layer; and adjusting weights of the one or more nodes in the at least one additional layer based on features obtained at the output layer.

Status:
Application
Type:

Utility

Filling date:

14 Feb 2020

Issue date:

26 Nov 2020